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Fuzzy and neural approaches in engineering

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnec...

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Bibliographic Details
Main Author: Tsoukalas, Lefteri H.
Other Authors: Uhrig, Robert E.
Format: Book
Language:English
Published: New York, NY John Wiley & Sons 1997
Series:Adaptive and learning systems for signal processing, communications, and control
Subjects:
Neural networks (Computer science)
Fuzzy Systems
Engineering > Data processing
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Table of Contents:
  • 1. Introduction to Hybrid Artificial Intelligence Systems
  • 2. Foundations of Fuzzy Approaches
  • 3. Fuzzy Relations
  • 4. Fuzzy Numbers
  • 5. Linguistic Descriptions and Their Analytical Forms
  • 6. Fuzzy Control
  • 7. Fundamentals of Neural Networks
  • 8. Backpropagation and Related Training Algorithms
  • 9. Competitive, Associative, and Other Special Neural Networks
  • 10. Dynamic Systems and Neural Control
  • 11. Practical Aspects of Using Neural Networks
  • 12. Fuzzy Methods in Neural Networks
  • 13. Neural Methods in Fuzzy Systems
  • 14. Selected Hybrid Neurofuzzy Applications
  • 15. Dynamic Hybrid Neurofuzzy Systems
  • 16. Expert Systems in Neurofuzzy Systems
  • 17. Genetic Algorithms
  • 18. Epilogue
  • App. T Norms and S Norms.

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